mlsanityData to 13 Oct 2026

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages

arXiv 2505.20564 ↗First posted 26 May 2025cs.CLcited by 7

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Abstract (arXiv)

The development of high-performing, robust, and reliable speech technologies depends on large, high-quality datasets. However, African languages -- including our focus, Igbo, Hausa, and Yoruba -- remain under-represented due to insufficient data. Popular voice-enabled technologies do not support any of the 2000+ African languages, limiting accessibility for circa one billion people. While previous dataset efforts exist for the target languages, they lack the scale and diversity needed for robust speech models. To bridge this gap, we introduce the NaijaVoices dataset, a 1,800-hour speech-text dataset with 5,000+ speakers. We outline our unique data collection approach, analyze its acoustic diversity, and demonstrate its impact through finetuning experiments on automatic speech recognition, averagely achieving 75.86% (Whisper), 52.06% (MMS), and 42.33% (XLSR) WER improvements. These results highlight NaijaVoices' potential to advance multilingual speech processing for African languages.

Key facts. Cited by 7 papers in the map (data through 13 Oct 2026). Builds on 24 of its 36 references that are in the map. First posted on arXiv 26 May 2025.

Builds on

24 of 36 references.

References · 24

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,004
  2. 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,366
  3. 2024The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scalecited by 1,126
  4. 2020The State and Fate of Linguistic Diversity and Inclusion in the NLP Worldcited by 792
  5. 2020Unsupervised Cross-lingual Representation Learning for Speech Recognitioncited by 500
  6. 2022FLEURS: Few-shot Learning Evaluation of Universal Representations of Speechcited by 459
  7. 2023Scaling Speech Technology to 1,000+ Languagescited by 402
  8. 2021Quality at a Glance: An Audit of Web-Crawled Multilingual Datasetscited by 242
  9. 2023Seamless: Multilingual Expressive and Streaming Speech Translationcited by 190
  10. 2020Participatory Research for Low-resourced Machine Translation: A Case Study in African Languagescited by 159
  11. 2021Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspectivecited by 116
  12. 2022A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translationcited by 97
12 more
  1. 2024BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of datacited by 75
  2. 2023The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AIcited by 73
  3. 2020Masakhane -- Machine Translation For Africacited by 48
  4. 2024IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languagescited by 39
  5. 2022BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpuscited by 31
  6. 2024IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTScited by 15
  7. 2023Multilingual self-supervised speech representations improve the speech recognition of low-resource African languages with codeswitchingcited by 11
  8. 2024Voices Unheard: NLP Resources and Models for Yor`ub'a Regional Dialectscited by 11
  9. 2022Kencorpus: A Kenyan Language Corpus of Swahili, Dholuo and Luhya for Natural Language Processing Taskscited by 9
  10. 2022YFACC: A Yor`ub'a speech-image dataset for cross-lingual keyword localisation through visual groundingcited by 8
  11. 2022Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languagescited by 6
  12. 2022A Proposal to Study "Is High Quality Data All We Need?"cited by 2

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2025: 2; 2026: 5.

7 papers.